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Record W2179000510 · doi:10.1525/ae.2002.29.2.287

Articulating Class In Post‐Fordist France

2002· article· en· W2179000510 on OpenAlexaff
Winnie Lem

Bibliographic record

VenueAmerican Ethnologist · 2002
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Identity and Heritage
Canadian institutionsTrent University
Fundersnot available
KeywordsCapitalismNationalismRegionalism (politics)Class consciousnessSociologySubjectivityEthnic groupIdentity politicsFordismGender studiesWorking classPoliticsIdentity (music)Political economyPolitical scienceAnthropologyEpistemologyEconomyAestheticsLawEconomics

Abstract

fetched live from OpenAlex

In analyses of the key changes that have taken place in the international organization of capitalism, it has been argued that the shift from Fordism to post‐Fordism has transformed the material realities of peoples' everyday lives and their forms of subjectivity and collective identity. Universalist forms of identification, especially class, it is argued, have given way to forms of affiliation based on the particularisms of ethnicity, nationalism, regionalism, and other cultural affinities. The theoretical weight accorded to class to explain the complexities of change under late capitalism has declined as analysts have turned increasingly to the study of nationalism, regionalism, and ethnicity in order to apprehend the dynamics of contemporary societies, particularly where ethnic conflict has become salient in regional and national politics. Yet, the extent to which universalistic forms of affiliation have been superseded by particularistic forms of identity in contemporary consciousness is the subject of much debate. By drawing on fieldwork undertaken among the family farmers of rural Languedoc, I argue that class maintains its potency both as a subjective category and an analytical category. Further, I show that class remains indispensable to understanding the nature of change in late capitalism. [Post–Fordism, class, identity, France, regionalism, Occitan]

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.818
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.045
GPT teacher head0.247
Teacher spread0.202 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2002
Admission routes1
Has abstractyes

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